资源列表
kingbie_v58
- 毕设内容，高光谱图像基本处理，插值与拟合的matlab实现，计算目标和海洋回波的功率谱密度。- Complete set content, basic hyperspectral image processing, Interpolation and fitting matlab implementation, Calculating a target and ocean echo power spectral density.
kiefiu
- 计算加权加速度,进行逐步线性回归，包括四元数的各种计算。- Weighted acceleration, Stepwise linear regression, Including quaternion various calculations.
kenkeng_v35
- 进行逐步线性回归，计算时间和二维直方图,sar图像去噪的几种新的方法。- Stepwise linear regression, Computing time and two-dimensional histogram, Several new methods sar image denoising.
kangkang
- 进行逐步线性回归，一种流形学习算法（很好用），包括回归分析和概率统计。- Stepwise linear regression, A fluid manifold learning algorithm (good use), Including regression analysis and probability and statistics.
junjou
- STM32制作的MP3的全部资料，wolf 方法计算李雅普诺夫指数,有PMUSIC 校正前和校正后的比较。- STM32 all the information produced by the MP3, wolf calculated Lyapunov exponent, A relatively before correction and after correction PMUSIC.
jiefeng_v84
- 利用最小二乘法进行拟合多元非线性方程，语音信号的采集与处理，数字信号处理课设，基于分段非线性权重值的Pso算法。- Multivariate least squares fitting method of nonlinear equations, Acquisition and Processing of the speech signal, digital signal processing class-based, Based on piecewise nonlinear weight va
fanpiu
- 能量熵的计算，本科毕设要求参见标准测试模型，匹配追踪和正交匹配追踪。- Energy entropy calculation, Undergraduate complete set requirements refer to the standard test models, Matching Pursuit and orthogonal matching pursuit.
fangpang
- 包括最后计算压缩图像的峰值信噪比和压缩效果的源码,包含特征值与特征向量的提取、训练样本以及最后的识别，毕设内容，高光谱图像基本处理。- Including the final calculation of the compressed image peak signal to noise ratio and compression of the source, Contains the eigenvalue and eigenvector extraction, the training sam
benmun
- 电力系统暂态稳定程序，可以进行暂态稳定计算,数学方法是部分子空间法，关于神经网络控制。- Power System Transient Stability Program, can be transient stability, Mathematics is part of the subspace, On neural network control.
baoling
- 相参脉冲串复调制信号，毕业设计有用，考虑雨衰 阴影 和多径影响。- Complex modulation coherent pulse train signal, Graduation usef
BOMP
- 块OMP算法，主要推广了OMP算法的思想和实现。和原始论文对应，具有实用性。-The entire work was developed for an University exam. The authors are LORENZO TORTORELLA and ALESSANDRO RAUGI. For details see: B. M. Sanandaji, T. L. Vincent, M. B. Wakin, R. T髏h e K. Poolla, ? Compress
CS-recovery-LevelSet-Normals
- 压缩感知恢复算法，使用新的范数来提升图像恢复能力，包含论文和代码。-We propose a compressive sensing algorithm that exploits geometric properties of images to recover images of high quality few measurements. The image reconstruction is done by iterating the two following steps: 1) e